MétaCan
Menu
Back to cohort

Estrategias para aplicar el nuevo Reglamento Sanitario Internacional en los países federales

2008· article· es· W2615058779 on OpenAlexaff
Kumanan Wilson, Christopher W. McDougall, David P. Fidler, Harvey Lazar

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2008
Typearticle
Languagees
FieldSocial Sciences
TopicPublic Health in Brazil
Canadian institutionsUniversity of VictoriaUniversity of Toronto
Fundersnot available
KeywordsGeographyHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

The International Health Regulations (IHR), the principal legal instrument guiding the international management of public health emergencies, have recently undergone an extensive revision process. The revised regulations, referred to as the IHR (2005), were unanimously approved in May 2005 by all Member States of the World Health Assembly (WHA) and came into effect on 15 June 2007. The IHR (2005) reflect a modernization of the international community's approach to public health and an acknowledgement of the importance of establishing an effective international strategy to manage emergencies that threaten global health security. The success of the IHR as a new approach to combating such threats will ultimately be determined by the ability of countries to live up to the obligations they assumed in approving the new international strategy. However, doing so may be particularly challenging for decentralized countries, specifically those with federal systems of government. Although the IHR (2005) are the product of an agreement among national governments, they cover a wide range of matters, some of which may not fall fully under the constitutional jurisdiction of the national government within many federations. This tension between the separation of powers within federal systems of government and the requirements of an evolving global public health governance regime may undermine national efforts towards compliance and could ultimately jeopardize the regime's success. We hosted a workshop to examine how federal countries could address some of the challenges they may face in implementing the IHR (2005). We present here a series of recommendations, synthesized from the workshop proceedings, on strategies that these countries might pursue to improve their ability to comply with the revised IHR.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0050.007
Open science0.0080.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0180.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.380
GPT teacher head0.617
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueDOAJ (DOAJ: Directory of Open Access Journals)Same topicPublic Health in BrazilFrench-language works237,207